Global Patent Index - EP 2097000 A2

EP 2097000 A2 20090909 - ELECTROCARDIOGRAM ANALYSIS INCLUDING IMPROVED AUTOMATIC SEGMENTATION USING HIDDEN MARKOV MODELS

Title (en)

ELECTROCARDIOGRAM ANALYSIS INCLUDING IMPROVED AUTOMATIC SEGMENTATION USING HIDDEN MARKOV MODELS

Title (de)

ANALYSE DES ELEKTROKARDIOGRAMMS MIT AUTOMATISCHER SEGMENTIERUNG UNTER VERWENDUNG VON HIDDEN-MARKOV-MODELLEN

Title (fr)

ANALYSE D'ELECTROCARDIOGRAMME A SEGMENTATION AUTOMATIQUE UTILISANT DES MODELES DE MARKOV CACHES

Publication

EP 2097000 A2 20090909 (EN)

Application

EP 07824759 A 20071130

Priority

  • GB 2007004593 W 20071130
  • GB 0624081 A 20061201

Abstract (en)

[origin: WO2008065412A2] A method of analysing biomedical signals, for example electrocardiograms, by using a Hidden Markov Model for subsections of the signal. In the case of an electrocardiogram two Hidden Markov Models are used to detect respectively the start and end of the QT interval. The relationship between the QT interval and heart rate can be computed and a contemporaneous value for the slope of this relationship can be obtained by calculating the QT/RR relationship for all of the beats in a sliding time window based on the current beat. Portions of electrocardiograms taken on different days can efficiently and accurately be compared by selecting time windows of the ECGs at the same time of day, and looking for similar beats in those time windows.

IPC 8 full level

A61B 5/0452 (2006.01)

CPC (source: EP US)

A61B 5/349 (2021.01 - EP); A61B 5/36 (2021.01 - US); A61B 5/7267 (2013.01 - EP US); A61B 5/7203 (2013.01 - EP US); G16H 50/70 (2017.12 - EP)

Citation (search report)

See references of WO 2008065412A2

Designated contracting state (EPC)

AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IS IT LI LT LU LV MC MT NL PL PT RO SE SI SK TR

DOCDB simple family (publication)

WO 2008065412 A2 20080605; WO 2008065412 A3 20081023; WO 2008065412 A8 20091015; EP 2097000 A2 20090909; EP 2097000 B1 20160127; GB 0624081 D0 20070110; JP 2010510850 A 20100408; JP 5193222 B2 20130508; US 2010056939 A1 20100304; US 8332017 B2 20121211

DOCDB simple family (application)

GB 2007004593 W 20071130; EP 07824759 A 20071130; GB 0624081 A 20061201; JP 2009538788 A 20071130; US 51712707 A 20071130